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Flume介绍

_karen 2024-01-28 阅读 11
flume大数据

一、介绍

二、部署

# 解压缩
tar -zxvf apache-flume-1.10.1-bin.tar.gz -C /opt/module/

三、使用

3.1、netcat to logger

vim /opt/module/flume/job/net_to_log.conf

# example.conf: A single-node Flume configuration

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory
# capacity：Maximum capacity of the channel
# transactionCapacity：The maximum size of transaction supported by the channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

# 启动该Agent
bin/flume-ng agent -n a1 -c /opt/module/flume/conf/ -f /opt/module/flume/job/net_to_log.conf

# 开启客户端消息推送
nc 127.0.0.1 44444

3.2、netcat to kafka

# example.conf: A single-node Flume configuration

# Name the components on this agent
a1.sources = r1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444


a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.c1.kafka.bootstrap.servers = hadoop102:9092,hadoop103:9092
a1.channels.c1.kafka.topic = netcat_to_kafka_topic
a1.channels.c1.parseAsFlumeEvent = false

# Bind the source and sink to the channel
a1.sources.r1.channels = c1

3.3、file to hdfs

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/module/logs/file.log
a1.sources.r1.channels = c1

# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = hdfs://hadoop102:8020/flume/%Y%m%d/%H

# 上传文件的前缀
a1.sinks.k1.hdfs.filePrefix = events-
# 是否按照时间滚动文件夹
a1.sinks.k1.hdfs.round = true
# 多少时间单位创建一个新的文件夹
a1.sinks.k1.hdfs.roundValue = 10
# 重新定义时间单位
a1.sinks.k1.hdfs.roundUnit = hour
# 是否使用本地时间戳
a1.sinks.k1.hdfs.useLocalTimeStamp = true
# 积攒多少Ecent才flush一次到HDFS
a1.sinks.k1.hdfs.batchSize = 100
# 设置文件类型,可支持压缩
a1.sinks.k1.hdfs.fileType = DataStream
# 多久生成一个新的文件(单位:秒)
a1.sinks.k1.hdfs.rollInterval = 60
# 设置每个文件滚动的大小
a1.sinks.k1.hdfs.rollSize = 134217700
# 文件的滚动与Event数量无关
a1.sinks.k1.hdfs.rollCount = 0


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

3.4、tail to hdfs

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = TAILDIR
# 存放断点续传的最后位置
a1.sources.r1.positionFile = /opt/module/logs/tail_dir.json
# 监控多个目录
a1.sources.r1.filegroups = f1 f2
a1.sources.r1.filegroups.f1 = /opt/module/logs/files/.*file.*
a1.sources.r1.filegroups.f2 = /opt/module/logs/files2/.*log.*


# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = hdfs://hadoop102:8020/flume/files/%Y%m%d/%H

# 上传文件的前缀
a1.sinks.k1.hdfs.filePrefix = events-
# 是否按照时间滚动文件夹
a1.sinks.k1.hdfs.round = true
# 多少时间单位创建一个新的文件夹
a1.sinks.k1.hdfs.roundValue = 10
# 重新定义时间单位
a1.sinks.k1.hdfs.roundUnit = hour
# 是否使用本地时间戳
a1.sinks.k1.hdfs.useLocalTimeStamp = true
# 积攒多少Event才flush一次到HDFS
a1.sinks.k1.hdfs.batchSize = 100
# 设置文件类型,可支持压缩
a1.sinks.k1.hdfs.fileType = DataStream
# 多久生成一个新的文件(单位:秒)
a1.sinks.k1.hdfs.rollInterval = 20
# 设置每个文件滚动的大小
a1.sinks.k1.hdfs.rollSize = 134217700
# 文件的滚动与Event数量无关
a1.sinks.k1.hdfs.rollCount = 0

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

四、其他

4.1、Spooling Directory Source

4.2、Avro Source

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4.3、Kafka Source

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4.4、HTTP Source

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4.5、Kafka Channel

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4.6、JDBC Channel

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4.7、Hive Sink

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4.8、Kafka Sink

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4.9、HTTP Sink

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五、拓扑结构

5.1、Setting multi-agent flow

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5.1、Consolidation

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1      
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = TAILDIR
a1.sources.r1.filegroups = f1
a1.sources.r1.filegroups.f1 = /opt/module/logs/file.log


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hadoop104
a1.sinks.k1.port = 4141


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = hadoop103
a1.sources.r1.port = 44444


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hadoop104
a1.sinks.k1.port = 4141


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = hadoop104
a1.sources.r1.port = 4141


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

5.1、Multiplexing the flow

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vim flume_channel_selectors_example.conf

# Name the components on this agent
a1.sources = r1
a1.sinks = k1 k2
a1.channels = c1 c2

# Channel选择器,默认为:replicating(将数据流复制给所有channel)
a1.sources.r1.selector.type = replicating

# Describe/configure the source
a1.sources.r1.type = TAILDIR
a1.sources.r1.filegroups = f1
a1.sources.r1.filegroups.f1 = /opt/module/logs/file.log



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100



# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = localhost
a1.sinks.k1.port = 4141

a1.sinks.k2.type = avro
a1.sinks.k2.hostname = localhost
a1.sinks.k2.port = 4142


# Bind the source and sink to the channel
a1.sources.r1.channels = c1 c2
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c2


vim avro_to_logger1.conf


# Name the components on this agent
a2.sources = r1
a2.sinks = k1
a2.channels = c1


# Describe/configure the source
a2.sources.r1.type = avro
a2.sources.r1.bind = localhost
a2.sources.r1.port = 4141



# Use a channel which buffers events in memory
a2.channels.c1.type = memory
a2.channels.c1.capacity = 1000
a2.channels.c1.transactionCapacity = 100



# Describe the sink
a2.sinks.k1.type = logger


# Bind the source and sink to the channel
a2.sources.r1.channels = c1
a2.sinks.k1.channel = c1

vim avro_to_logger2.conf


# Name the components on this agent
a3.sources = r1
a3.sinks = k1
a3.channels = c2


# Describe/configure the source
a3.sources.r1.type = avro
a3.sources.r1.bind = localhost
a3.sources.r1.port = 4142



# Use a channel which buffers events in memory
a3.channels.c2.type = memory
a3.channels.c2.capacity = 1000
a3.channels.c2.transactionCapacity = 100



# Describe the sink
a3.sinks.k1.type = logger


# Bind the source and sink to the channel
a3.sources.r1.channels = c2
a3.sinks.k1.channel = c2

# 启动这三个agent
bin/flume-ng agent -n a2 -c /opt/module/flume/conf/ -f /opt/module/flume/job/group/avro_to_logger1.conf
bin/flume-ng agent -n a3 -c /opt/module/flume/conf/ -f /opt/module/flume/job/group/avro_to_logger2.conf
bin/flume-ng agent -n a1 -c /opt/module/flume/conf/ -f /opt/module/flume/job/group/flume_channel_selectors_example.conf

六、拦截器

6.1、Timestamp Interceptor

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 44444

# 配置拦截器
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = timestamp


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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6.2、Host Interceptor

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 44444

# 配置拦截器
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = host


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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6.3、Static Interceptor

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# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 44444

# 配置拦截器
a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = static
a1.sources.r1.interceptors.i1.key = datacenter
a1.sources.r1.interceptors.i1.value = NEW_YORK


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100


# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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6.4、Remove Header Interceptor

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6.5、UUID Interceptor

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6.6、Morphline Interceptor

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6.7、Search and Replace Interceptor

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6.8、Regex Filtering Interceptor

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6.9、Regex Extractor Interceptor

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6.10、自定义拦截器

  1. 引用POM依赖
<dependency>
    <groupId>org.apache.flume</groupId>
    <artifactId>flume-ng-core</artifactId>
    <version>1.10.1</version>
</dependency>
  1. 编写拦截器
package com.xx.interceptor;

import org.apache.flume.Context;
import org.apache.flume.Event;
import org.apache.flume.interceptor.Interceptor;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * @author xiaxing
 * @describe flume拦截器
 * @since 2024/1/23 16:37
 */
public class TypeInterceptor implements Interceptor {

    private List<Event> addHeaderEvents;

    @Override
    public void initialize() {
        addHeaderEvents = new ArrayList<>();
    }

    @Override
    public Event intercept(Event event) {
        Map<String, String> headers = event.getHeaders();
        String body = new String(event.getBody());
        if (body.contains("CZ")) {
            headers.put("state", "CZ");
        } else if (body.contains("US")) {
            headers.put("state", "US");
        } else {
            headers.put("state", "UN");
        }
        return event;
    }

    @Override
    public List<Event> intercept(List<Event> list) {
        addHeaderEvents.clear();
        list.forEach(event -> {
            addHeaderEvents.add(this.intercept(event));
        });
        return addHeaderEvents;
    }

    @Override
    public void close() {

    }

    public static class Builder implements Interceptor.Builder {

        @Override
        public Interceptor build() {
            return new TypeInterceptor();
        }

        @Override
        public void configure(Context context) {

        }
    }
}
  1. 将打包好的jar包放到flume中

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  1. 编写flume.conf
# Name the components on this agent
a1.sources = r1
a1.sinks = k1 k2 k3
a1.channels = c1 c2 c3


# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# 配置拦截器
# 拦截器名称
a1.sources.r1.interceptors = i1
# 拦截器路径
a1.sources.r1.interceptors.i1.type = com.xx.interceptor.TypeInterceptor$Builder
a1.sources.r1.selector.type = multiplexing

# 指定头信息中的key
a1.sources.r1.selector.header = state
# 如果value为CZ则将数据发送到c1这个channel
a1.sources.r1.selector.mapping.CZ = c1
# 如果value为CZ则将数据发送到c2这个channel
a1.sources.r1.selector.mapping.US = c2
# 没有命中的发往c3这个channel
a1.sources.r1.selector.default = c3



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

a1.channels.c3.type = memory
a1.channels.c3.capacity = 1000
a1.channels.c3.transactionCapacity = 100




# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = hadoop102
a1.sinks.k1.port = 4141


a1.sinks.k2.type = avro
a1.sinks.k2.hostname = hadoop103
a1.sinks.k2.port = 4142


a1.sinks.k3.type = avro
a1.sinks.k3.hostname = hadoop104
a1.sinks.k3.port = 4143


# Bind the source and sink to the channel
a1.sources.r1.channels = c1 c2 c3
a1.sinks.k1.channel = c1
a1.sinks.k2.channel = c2
a1.sinks.k3.channel = c3

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4141



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100



# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4142



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100



# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1


# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4143



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100



# Describe the sink
a1.sinks.k1.type = logger


# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

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